Two smart tools for control chart analysis

• Autorzy: Hamrol A. , Kujawińska A.
• Języki publikacji: EN

Abstrakty

EN

The paper deals with the analysis of process stability with the use of process control charts. A new idea of pattern recognition and two original methods of data processing, called OTT and MW have been described. The software application CCAUS (Control Charts - Analysis Unnatural Symptoms) supporting process control charts analysis withOTT and MW has been presented as well. Also the paper contains the results of the verification of the proposed methods performed on the basis of data obtained from two machining operations.

Słowa kluczowe

EN

process; control chart; process stability; trend; pattern recognition

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2009
• Tom: Vol. 3, No. 3
• Strony: 90--95
• Opis fizyczny: Bibliogr. 8 poz.,rys.

Twórcy

autor

Hamrol A.

autor

Kujawińska A.

• Institute of Mechanical Technology, Poznan University of Technology, ul. Piotrowo 3, 61-138 Poznań. Tel. tel: [phone] (Mr Hamrol),

Bibliografia

• [1] Cheng Ch., Hubele N., “A pattern recognition algorithm for an x control chart”, IIE Transaction, no. 28, 1996.
• [2] Dietrich E., A. Schulze A.,Statistic methods for measuring resources' qualification, Notika System: Warsaw 2000.
• [3] Hamrol A., Quality Management with Example, PWN:Warsaw, 2008.
• [4] Hamrol A., Kujawińska A.,New method of control charts analysis, Poznan University of Technology ATMiA: Poznań, 2006.
• [5] Hamrol A., Kujawińska A., “Solving of tasks symptoms classification with neural networks”. In : Komputerowo Zintegrowane Zarządzanie (Computer Integrated Management), vol. 1, WNT: Warsaw, 2003, pp. 375-382.
• [6] Juran J.M., Godfrey A.B. Juran's Quality Handbook, McGraw-Hill, 2000.
• [7] Kujawińska A., “Automation of the Quality Control Charts”. In:13 International DAAAM Symposium “Intelligent Manufacturing & Automation: Learning From Nature”,Vienna University of Technology, Vienna, Austria, 2000.
• [8] Woodall W.H., “Controversies and Contradictions in Statistical Process Control”, Journal of Quality Technology Session, 2000.